Search

Data processing and visualization tools

Visualization is critical for data analysis. It provides a first line of attack, revealing intricate structures in data that cannot be absorbed otherwise. We discover unimaginable effects and question those that have been imagined." William S. Cleveland (de Visualizing Data, Hobart Press)

Data products with GraphQ

When it comes to infrastructure, the foundation of our modern civilisation is based on concrete and steel. Wherever we look, large structures such as roads, buildings, cars, trains and planes are made of concrete and metal. In the digital world, everything is made of data and APIs.

Data regulations, protagonists of the 17th ASEDIE International Conference on the Reuse of Public Sector Information

The 17th International Conference on the Reuse of Public Sector Information will be held on December 3 in Madrid.

Páxina básica

Data reuse and data governance in the new AI 2024 strategy

The Artificial Intelligence Strategy 2024 is the comprehensive plan that establishes a framework to accelerate the development and expansion of artificial intelligence (AI) in Spain. This strategy was approved, at the proposal of the&nb

Data Sandboxes: Exploring the potential of open data in a secure environment

Data sandboxes are tools that provide us with environments to test new data-related practices and technologies, making them powerful instruments for managing and using data securely and effectively.

Data Science Award Spain 2016

Synergic Partners, Telefónica Group company specialized in big data, data science and engineering, organizes together with Telefónica the Data Science Awards Spain 2016 to reward the best individual and business initiatives in the field of data journalism and big data.

Data Science Awards Spain 2017

Best big data business initiative in Spain, best data scientist and best data reporter. The second edition of the Data Science Awards Spain 2017 is organized into three categories.

Data Science, machine learning and deep learning

Data science is an interdisciplinary field that seeks to extract actuable knowledge from datasets, structured in databases or unstructured as texts, audios or

Data Scientist's Decalogue

Data science has become a pillar of evidence-based decision-making in the public and private sectors. In this context, there is a need for a practical and universal guide that transcends technological fads and provides solid and applicable principles.